JP7362483B2 - Pest control systems and related methods - Google Patents

Description

Cross-reference of related applications

This application claims the benefit of U.S. Patent Application No. 15/485,820, filed April 12, 2017, the contents of which are incorporated herein by reference in their entirety.

The present disclosure is directed to the detection, control, and management of pests, and more particularly, to centralized pest monitoring and detection, pest identification/mass source analysis and treatment recommendations, and Covers systems and methods of pest control that relate to analysis and inventory management, thereby providing a comprehensive and centrally controlled pest management environment.

Distributed pest detection networks comprising a central base in communication with one or more distributed pest detectors or traps are known in the prior art. However, such decentralized pest networks are often rudimentary and often do not allow a central base to know that some cryptid has responded to a detector/trap sufficiently to send a detection signal back to the central base. Just to let you know. Once a detection signal is received by a central station, pest control technicians are often dispatched to the site, often determining the nature of the detected organisms and what treatment agents to apply to deal with the detected organisms. They are sent without any indication as to what should be done and what steps should be taken to prevent future outbreaks. Furthermore, there may be little or no information or indicators about the root causes of pest outbreaks, and predictions or predictions of future trends in pest activity may be purely guesswork.

Another problem associated with pest control is the application of treatments, particularly chemical pesticides that, when used, must be mixed with diluents at specific concentrations according to the manufacturer's recommended usage. Often, mixing the pesticide substance (active ingredient) and diluent to obtain the pesticide can also be a guesswork or at best a rough approximation, and the pesticide substance and diluent are provided in precisely measured amounts. Pest control technicians often make the mistake of adding high concentrations of pesticide substances to the diluent, unless they are using a diluent. Therefore, when applying pesticides, more pesticide substance is probably used than necessary, often inconsistently from application to application, and not at the proper concentration for optimal effectiveness. There may be no. This leads to inventory problems for manufacturers/distributors who provide pesticide substances and cost inefficiencies for pest control organizations (PCOs) that handle pest control issues.

Therefore, more efficient pest monitoring and control to streamline the work of monitoring sites for pest outbreak problems and treat detected pest problems effectively, efficiently, and conveniently. system is needed. Additionally, there is a need for improved consistency, effectiveness, and efficiency of pesticide application systems and pesticide application operations that more efficiently provide the appropriate pesticide using a constant concentration of pesticide material in a diluent. has been done.

The above and other needs are met by aspects of the present disclosure, which provide a plurality of pests disposed at a site and configured to generate a signal in response to detection of a pest at the site. A pest monitoring and control system including a monitoring device is provided. A computing device located remotely from the pest monitoring device is configured to communicate with the pest monitoring device to receive the generated signals, the signals from the pest monitoring device reflecting actual field data. include. The computing device is further configured to determine the amount of pest monitoring devices proposed for monitoring the site and the location of each pest monitoring device around the site. Environmental factor data related to conducive environmental factors at and around the site and historical factor data related to factors indicative of past pest populations at the site are analyzed. The computer device is also configured to direct the deployment of the pest control monitoring device around the site in accordance with the analysis.

Other aspects of the disclosure include a reservoir configured to contain a diluent, a pesticide module configured to contain a pesticide material, and transmitting data from a pesticide supply/application unit. A pesticide application system is provided that includes one or more pesticide supply/application units each including a transmitting module. A computing device located remotely from the pesticide supply/application unit is configured to receive data from the pesticide supply/application unit via each of the transmission modules. The data may be used to determine the amount of pesticide material supplied from the pesticide module of any of the pesticide supply/application units in order to formulate a pest treatment agent containing a constant concentration of pesticide material in a diluent. including an amount or rate at which the pest treatment agent is delivered from the pesticide supply/application unit to treat pests at the site.

The present disclosure therefore includes, without limitation, the following aspects.
(Aspect 1)
a plurality of pest monitoring devices disposed at a site and configured to generate signals in response to detection of pests at the site; a computer device configured to communicate with the pest monitoring device to receive a generated signal, the signal from the pest monitoring device including actual field data; a non-transitory memory storing possible instructions, the instructions including at least the amount of said pest monitoring devices proposed for monitoring said site and the location of each said pest monitoring device around said site; environmental factor data related to environmental factors at and around the site that are conducive to pest population growth, as well as historical factor data related to factors indicative of past pest populations at the site; a computer device, in response to execution by the processor, causing the computer device to analyze the pest control monitoring device and direct the deployment of the pest control monitoring device around the site in accordance with the analysis. Monitoring pest control system.

(Aspect 2)
A system according to any of the above or below aspects or a combination thereof, wherein the computer device is configured to monitor the detected pest in the vicinity of the site in response to detection of a pest by any of the pest monitoring devices. A system configured to analyze said actual field data to determine the location or potential source of organisms.

(Aspect 3)
A system according to any of the above or below aspects or a combination thereof, wherein the computer device is configured to monitor the detected pest in the vicinity of the site in response to detection of a pest by any of the pest monitoring devices. A system configured to analyze the actual field data to determine a vector indicative of the location of the organism or the potential source.

(Aspect 4)
A system according to any of the aspects described above or below, or a combination thereof, wherein the computer device determines whether or not the installation position of the pest monitoring device around the site should be changed, or whether the installation position of the pest monitoring device around the site should be changed. A system configured to analyze the actual field data using the environmental factor data and the historical factor data to determine whether the amount of pest monitoring equipment should be changed.

(Aspect 5)
A system according to any of the above or below aspects or a combination thereof, wherein the computer device is configured to direct adjustment of the amount of pest monitoring equipment deployed around at least the site based on risk tolerance factors. consists of a system.

(Aspect 6)
A system according to any of the above or below aspects or a combination thereof, wherein the computer device is configured to monitor the amount of pest monitoring equipment proposed for monitoring the site and each of the pest monitoring devices in the vicinity of the site. The system is configured to analyze the environmental factor data and the historical factor data with respect to a geospatial map of the site to determine installation locations of equipment.

(Aspect 7)
A system according to any of the above or below aspects or a combination thereof, wherein the computing device specifies a response to the detected pest or the potential source of the detected pest at the site. The system is configured as follows.

(Aspect 8)
A system according to any of the above or below aspects or a combination thereof, wherein the computing device is configured to direct one or more specific queries to a remote terminal in response to the actual field data, the remote terminal , configured to receive a response to the one or more specific queries entered into the remote terminal from the site and direct the response to the computing device, the computing device being responsive to the response from the remote terminal. and identifying the detected pest and specifying a response to the detected pest or the source of the detected pest at the site.

(Aspect 9)
A system according to any of the above or below aspects or a combination thereof, wherein the computer device is configured to determine how to deal with the detected pest or the potential source of the detected pest at the site. A system configured to instruct a pesticide dispenser configured to implement the treatment at the scene or a pest control technician instructed to implement the treatment at the site.

(Aspect 10)
A system according to any of the aspects described above or below, or a combination thereof, wherein the computer device converts the actual site data into work activity data related to work activity factors at the site or external factors affecting the site. A system configured to analyze environmental factors in comparison with external environmental factor data and predict future pest outbreak events.

(Aspect 11)
A system according to any of the aspects described above or below, or a combination thereof, wherein the computer device detects a change in a work activity factor related to the work activity data, a change in an environmental factor related to the environmental factor data, or the prediction. A system configured to determine preventive factors that prevent future pest outbreak events from occurring.

(Aspect 12)
A system according to any of the above or below aspects or a combination thereof, wherein the computer device is configured to take measures to identify the root cause of a pest outbreak at the site or to prevent future pest outbreaks. data from an environmental monitor associated with said site, physical factor data associated with said site, data from a facility monitor associated with said site, or related to work factors associated with said site. A system configured to analyze data and determine a correlation between the data and the actual field data.

(Aspect 13)
A system according to any of the above or below aspects or a combination thereof, wherein the computing device is configured to take the specified action against the detected pest or the potential source of the detected pest at the site. altering the active ingredient of the method or the specified treatment to prevent or delay the detected pest from acquiring resistance to the active ingredient of the treatment or the specified treatment; The system is configured as follows.

(Aspect 14)
A system according to any of the above or below aspects or a combination thereof, wherein the computer device is configured to determine a change in pest activity in response to the specified treatment, or to determine a change in pest activity in response to the specified treatment, or In order to evaluate the effectiveness of the specified treatment according to biological activity, actual field data can be used to evaluate the effectiveness of the specified treatment on the detected pest or the source of the detected pest at the site. A system configured to correlate with law.

(Aspect 15)
A system according to any of the above or below aspects or a combination thereof, wherein the computer device analyzes the actual field data and determines whether pest activity associated with the actual field data is determined by the specified action. is configured to determine whether there is an increase in the performance parameter associated with the specified response method or the specified response measure, and to recommend a further response action, the further response action being to adjust the implementation parameter within the recommended range. and addressing field factors unrelated to said implementation parameters; system, including modifying it to prevent or delay the acquisition of.

(Aspect 16)
A system according to any of the aspects described above or below, or a combination thereof, wherein the computer device compares the specified countermeasure with restrictions on the countermeasure regarding the site, and selects the specified countermeasure. The system is configured to specify an alternative remedy if the method violates the limitations on remedies.

(Aspect 17)
A method for on-site pest monitoring and control, comprising: determining the amount of pest monitoring devices proposed for monitoring the site and the location of each pest monitoring device around the site; analyzing environmental factor data related to environmental factors at and around the site that facilitate population growth and historical factor data related to factors indicative of past pest populations at the site; and in accordance with said analysis; deploying the pest control monitoring device around the site.

(Aspect 18)
A method according to any aspect or combination thereof described above or below, wherein each pest monitoring device generates a signal in response to detection of a pest at the site and transmits the signal to a remotely located computer device. from any of the pest monitoring devices using the computing device to determine the location or potential source of the detected pests around the site. A method comprising analyzing the signal, wherein the signal from the pest monitoring device includes actual field data.

(Aspect 19)
A method according to any of the above or below aspects or a combination thereof, the method comprising: determining a vector indicative of the location or potential source of the detected pest in the vicinity of the site; A method, including analyzing data.

(Aspect 20)
A method according to any of the aspects described above or below, or a combination thereof, which determines whether the installation position of the pest monitoring device around the site should be changed, or whether the installation position of the pest monitoring device installed around the site is to be changed. A method comprising analyzing the actual field data using the environmental factor data and the historical factor data to determine whether the amount should be changed.

(Aspect 21)
A method according to any of the above or below aspects or a combination thereof, comprising directing an adjustment of the amount of pest monitoring equipment deployed about at least the site based on risk tolerance factors.

(Aspect 22)
A method according to any of the above or below aspects or a combination thereof, comprising: the amount of pest monitoring devices proposed for monitoring the site; and the location of each pest monitoring device around the site; analyzing the environmental factor data and the historical factor data with respect to a geospatial map of the site to determine a.

(Aspect 23)
A method according to any of the above or below aspects or a combination thereof, wherein the computer device specifies how to deal with the detected pest or the potential source of the detected pest at the site. including methods.

(Aspect 24)
A method according to any or a combination of the foregoing or below-described aspects, comprising directing one or more specific queries from the computing device to a remote terminal in response to the actual field data, the remote terminal , configured to receive a response to the one or more specific queries input from the field to the remote terminal.

(Aspect 25)
A method according to any aspect or combination thereof described above or below, comprising receiving the response at the computing device, the computing device transmitting information from the remote terminal to identify the detected pest. and specifying, by the computing device, a response to the detected pest or the source of the detected pest at the site.

(Aspect 26)
A method according to any of the above or below aspects or a combination thereof, the method comprising: transmitting, from the computing device, instructions on how to deal with the detected pest or the potential source of the detected pest at the site; A method comprising instructing a pesticide dispenser configured to implement the treatment at the scene or a pest control technician who is instructed to implement the treatment at the site.

(Aspect 27)
A method according to any of the above or below aspects or a combination thereof, wherein the computer device converts the actual site data into work activity data related to work activity factors at the site or external factors affecting the site. A method comprising predicting future pest outbreak events by analyzing environmental factors relative to external environmental factor data.

(Aspect 28)
A method according to any of the above or below aspects or a combination thereof, wherein the computer device detects a change in a work activity factor related to the work activity data, a change in an environmental factor related to the environmental factor data, or the prediction. determining preventive factors that prevent future pest outbreak events from occurring.

(Aspect 29)
A method according to any of the above or below aspects or a combination thereof, comprising data from an environmental monitor related to the site, physical factor data related to the site, and data from a facility monitor related to the site. or determining, with said computing device, the root cause of pest infestation at said site by analyzing data related to operational factors associated with said site and determining correlations between said data and said actual site data. or to suggest measures to prevent future pest outbreaks.

(Aspect 30)
A method according to any of the foregoing or below aspects or a combination thereof, wherein the computing device is configured to take the specified action against the detected pest or the potential source of the detected pest at the site. preventing or delaying the development of resistance in the detected pest to the active ingredients of the treatment or specified treatment by changing the active ingredients of the treatment or specified treatment; A method including:

(Aspect 31)
A method according to any of the foregoing or below aspects or a combination thereof, wherein said computer device is used for determining a change in pest activity in response to said specified treatment, or for determining a change in pest activity in response to said specified treatment; To evaluate the effectiveness of the specified treatment according to biological activity, actual field data can be used to evaluate the effectiveness of the specified treatment method for the detected pest or the potential source of the detected pest at the site. methods, including correlating with coping strategies.

(Aspect 32)
A method according to any of the above or below aspects or a combination thereof, the method comprising: analyzing, with the computer device, the actual field data; and determining whether pest activity associated with the actual field data is recommending further coping actions by determining whether there is an increase in a specified coping strategy or an implementation parameter associated with the specified coping strategy; adjusting the specified countermeasure within a recommended range, responding to on-site factors unrelated to the implementation parameters, and adjusting the specified countermeasure against the effective component of the countermeasure or the specified countermeasure. and modifying the pest to prevent or delay the development of resistance in the pest.

(Aspect 33)
A method according to any of the aspects described above or below, or a combination thereof, wherein the computer device compares the specified countermeasure with restrictions on the countermeasure regarding the site, and calculates the specified countermeasure. specifying an alternative remedy if the restriction on remedies is violated.

(Aspect 34)
A computer-readable storage medium for an on-site pest control monitoring and control system, wherein the computer-readable storage medium is non-transitory and includes at least one of the pest monitoring devices proposed for on-site monitoring. environmental factor data relating to environmental factors at and around the site that are conducive to pest population growth, as well as the past at the site, to determine the amount and location of each pest monitoring device around the site; said device in response to performing, by said processor, analyzing historical factor data associated with factors indicative of pest populations of said pest control device; and deploying said pest control monitoring device around said site in accordance with said analysis. A computer-readable storage medium having computer-readable program code stored therein to cause the computer-readable storage medium to perform operations.

(Aspect 35)
a non-transitory computer-readable storage medium according to any or combination of the foregoing or below-described aspects, wherein each pest monitoring device generates a signal in response to detection of a pest at the site and is associated with the pest monitoring device; A computer device in which a non -temporary computer available readable medium is located is configured to transmit the signal, and the non -single -time computable reading storage medium is a harmful creature detected around the site. within the non-transitory computer-readable storage medium, responsive to execution by the processor, causing the device to analyze the signal from the pest monitoring device to determine a location or potential source; A non-transitory computer-readable storage medium including further computer-readable program code stored thereon, wherein the signals from the pest monitoring device include actual field data.

(Aspect 36)
a non-transitory computer readable storage medium according to any of the foregoing or below aspects or a combination thereof, for determining a vector indicative of the location or the potential source of the detected pest in the vicinity of the site; a non-transitory computer-readable program code stored within the non-transitory computer-readable storage medium that causes the apparatus, in response to execution by the processor, to cause the apparatus to analyze the actual field data; computer-readable storage medium.

(Aspect 37)
a non-transitory computer-readable storage medium according to any of the above or below aspects or a combination thereof, which determines whether the installation location of the pest monitoring device around the site is to be changed or is deployed around the site; in response to performing by the processor analyzing the actual field data using the environmental factor data and the historical factor data to determine whether the amount of the pest monitoring device should be changed; A non-transitory computer-readable storage medium including further computer-readable program code stored within the non-transitory computer-readable storage medium for causing the apparatus to perform operations on the non-transitory computer-readable storage medium.

(Aspect 38)
a non-transitory computer-readable storage medium according to any of the foregoing or below-described aspects, or a combination thereof, for directing adjustment of said amount of pest monitoring equipment to be deployed at least about said site based on risk tolerance factors; a non-transitory computer-readable storage medium, the non-transitory computer-readable storage medium comprising further computer-readable program code stored within the non-transitory computer-readable storage medium that causes the apparatus, in response to execution by the processor, to cause the apparatus to:

(Aspect 39)
a non-transitory computer-readable storage medium according to any of the foregoing or below-described aspects or combinations thereof, comprising: said amount of pest monitoring equipment proposed for monitoring said site; and said amount of pest monitoring equipment proposed for monitoring said site and each said pest in the vicinity of said site. the device, in response to execution by the processor, causing the device to analyze the environmental factor data and the historical factor data with respect to a geospatial map of the site to determine the installation location of the monitoring device; A non-transitory computer-readable storage medium comprising further computer-readable program code stored within the temporary computer-readable storage medium.

(Aspect 40)
a non-transitory computer-readable storage medium according to any of the foregoing or below aspects or a combination thereof, specifying how to deal with the detected pest or the potential source of the detected pest at the site; a non-transitory computer-readable storage medium, the non-transitory computer-readable storage medium comprising further computer-readable program code stored within the non-transitory computer-readable storage medium that causes the apparatus, in response to execution by the processor, to cause the apparatus to:

(Aspect 41)
a non-transitory computer-readable storage medium according to any of the foregoing or below-described aspects, or a combination thereof, for directing one or more specific queries from said computing device to a remote terminal in response to said actual field data; , a non-transitory computer-readable storage medium comprising further computer-readable program code stored within the non-transitory computer-readable storage medium that causes the apparatus to perform operations in response to execution by the processor, the remote terminal , a non-transitory computer-readable storage medium configured to receive from the site a response to the one or more specific queries entered into the remote terminal.

(Aspect 42)
a non-transitory computer-readable storage medium according to any or combination of the foregoing or below-described aspects, responsive to receiving said response from said remote terminal, identifying said detected pest, and detecting said pest at the scene; stored within the non-transitory computer-readable storage medium, causing the apparatus, in response to execution by the processor, to specify a response to the detected pest or the source of the detected pest; a non-transitory computer-readable storage medium containing further computer-readable program code;

(Aspect 43)
a non-transitory computer-readable storage medium according to any of the foregoing or below-described aspects or a combination thereof, the method of dealing with the detected pest or the potential source of the detected pest at the site; execution by the processor of instructing, from the computer device, a pesticide dispenser configured to implement the treatment at the site or a pest control technician who is instructed to implement the treatment at the site; a non-transitory computer-readable storage medium comprising further computer-readable program code stored within the non-transitory computer-readable storage medium that causes the apparatus to perform operations in response to a computer-readable computer-readable storage medium;

(Aspect 44)
a non-transitory computer-readable storage medium according to any of the foregoing or below-described aspects, or a combination thereof, for storing said actual site data, work activity data relating to work activity factors at said site, or affecting said site; the non-transitory computer, in response to execution by the processor, causing the apparatus to predict future pest outbreak events by analyzing external environmental factors in comparison with external environmental factor data related to external environmental factors; A non-transitory computer-readable storage medium comprising further computer-readable program code stored within the readable storage medium.

(Aspect 45)
A non-transitory computer readable storage medium according to any of the above or below aspects or a combination thereof, the storage medium comprising a change in a work activity factor associated with said work activity data, a change in an environmental factor associated with said environmental factor data, or a change in an environmental factor associated with said environmental factor data; a further computer-readable device stored within the non-transitory computer-readable storage medium that causes the apparatus, in response to execution by the processor, to determine preventive factors that impede an anticipated future pest outbreak event; A non-transitory computer-readable storage medium containing program code.

(Aspect 46)
a non-transitory computer-readable storage medium in accordance with any of the foregoing or below-described aspects, or a combination thereof, comprising: data from an environmental monitor associated with the site; physical factor data associated with the site; Determine the root cause of pest infestation at the site by analyzing data from facility monitors or related to operational factors associated with the site and determining correlations between said data and actual site data. stored within the non-transitory computer-readable storage medium that causes the apparatus, in response to execution by the processor, to identify a cause or suggest an action to prevent a future pest outbreak; a non-transitory computer-readable storage medium comprising further computer-readable program code;

(Aspect 47)
a non-transitory computer-readable storage medium according to any of the foregoing or below-described aspects or combinations thereof; Responsive to execution by the processor of preventing or delaying the detected pest from acquiring resistance to the treatment by changing the treatment or the active ingredients of the specified treatment. A non-transitory computer-readable storage medium including further computer-readable program code stored within the non-transitory computer-readable storage medium for causing the apparatus to perform operations on the non-transitory computer-readable storage medium.

(Aspect 48)
a non-transitory computer-readable storage medium according to any of the foregoing or below-described aspects, or a combination thereof, for determining changes in pest activity in response to said specified treatment, or said said pest being the subject of treatment; Actual field data are assigned to the detected pests or the potential sources of the detected pests at the site in order to assess the effectiveness of the specified treatments in response to pest activity. a non-transitory computer readable program code stored within the non-transitory computer readable storage medium that causes the apparatus, in response to execution by the processor, to correlate an action taken; storage medium.

(Aspect 49)
a non-transitory computer-readable storage medium according to any of the foregoing or below-described aspects or a combination thereof; causing the apparatus, in response to execution by the processor, to recommend further remedial action by determining whether there is an increase in a remedial action or an implementation parameter associated with the specified remedial action; a non-transitory computer-readable storage medium comprising further computer-readable program code stored within the non-transitory computer-readable storage medium, the further remedial action comprising: adjusting the implementation parameter within a recommended range; responding to field factors not associated with implementation parameters, and applying said specified treatment such that said detected pest has acquired resistance to said treatment or to the active ingredients of said specified treatment; non-transitory computer-readable storage medium that includes modification to prevent or delay the occurrence of

(Aspect 50)
a non-transitory computer-readable storage medium according to any of the foregoing or below-described aspects or a combination thereof, the storage medium comprising: a non-transitory computer-readable storage medium according to any of the aspects described above or below, or a combination thereof; stored within the non-transitory computer-readable storage medium in response to execution by the processor, causing the apparatus to specify an alternative remedy if the method violates the limitation on remedies; a non-transitory computer-readable storage medium containing further computer-readable program code;

(Aspect 51)
one or more pesticide supply units each including a tank configured to contain a diluent, a pesticide module configured to contain a pesticide material, and a transmitting module to transmit data; a computer device disposed remotely from a dispensing unit and configured to receive pesticide substance usage data from the dispensing unit via a respective transmission module, the dispensing agent application system comprising: The usage data includes information about the pesticide material supplied from the pesticide module of any of the pesticide supply units to formulate a pest treatment product containing a constant concentration of the pesticide material in the diluent. the pest treatment agent being supplied from the pesticide supply unit for treating pests at the site; and the computer device having a processor and at least an amount of pesticide material to be used; and a non-transitory memory storing executable instructions responsive to execution by the processor to cause the computing device to determine and monitor a pesticide application system.

(Aspect 52)
A system according to any of the aspects described above or below, or a combination thereof, wherein the one or more pesticide supply units include a plurality of pesticide supply units, and the computer device receives information from the pesticide module of the pesticide supply unit. A system configured to determine a usage amount of the pesticide material based on the supply amount or the rate of supply of the pesticide material provided.

(Aspect 53)
A system according to any or a combination of the foregoing or below-described aspects, wherein the computer arrangement is configured to determine normal usage distribution statistics for pesticide substances supplied from one or more of the pesticide supply units. consists of a system.

(Aspect 54)
A system according to any of the aspects described above or below, or a combination thereof, wherein the computer device calculates the determined usage amount of the pesticide material from any of the pesticide supply units according to the normal usage distribution. The system is configured to compare statistics to determine pesticide supply units dispensing more or less than the normal usage distribution statistics for the pesticide substance.

(Aspect 55)
A system according to any of the aspects or combinations thereof described above or below, wherein each pesticide supply unit is associated with a pest control technician, and wherein the computer device is configured to receive the pesticide supply from any of the pesticide supply units. configured to determine remedial pesticide application training for the pest control technician in response to the determined usage rate of pesticide substance deviating from the normal usage distribution statistics; system.

(Aspect 56)
A system according to any aspect or combination thereof as described above or below, wherein each of the one or more pesticide supply units includes a timer module in communication with a transmitting module, the timer module determining a duration of a pesticide application event. and wherein the computing device is configured to determine normal duration distribution statistics for a plurality of the pesticide application events.

(Aspect 57)
A system according to any of the above or below aspects or a combination thereof, wherein the computing device is configured to adjust the determined duration of the pesticide application event from any of the pesticide supply units to the regular duration. A system configured to compare time distribution statistics to determine which pesticide supply units have been used more or less than the normal duration distribution statistics for the pesticide application event.

(Aspect 58)
A system according to any of the aspects or combinations thereof described above or below, wherein each pesticide supply unit is associated with a pest control technician, and wherein the computer device is configured to receive the pesticide supply from any of the pesticide supply units. and configured to determine and monitor pesticide application remedial training for the pest control technician in response to the determined duration of a pesticide application event deviating from normal duration distribution statistics. system.

(Aspect 59)
A system according to any of the aspects described above or below, or a combination thereof, wherein the computer device stores data from an environmental monitor related to the site, physical factor data related to the site, and facilities related to the site. correlating data from a monitor, data related to operational factors associated with the site, or external environmental factor data related to external environmental factors affecting the site with the determined usage amount of the pesticide substance; The system is configured as follows.

(Aspect 60)
A system according to any aspect or combination thereof described above or below, wherein each of the one or more pesticide supply units includes a receiving module configured to receive communications from the computer device, the computer device comprising: At least, the pesticide substance at a predetermined concentration is mixed into the diluent of the pest treatment agent to be supplied from the pesticide supply unit to the pesticide module of any of the pesticide supply units. The system is configured to direct metering of the pesticide substance provided from the pesticide module to.

(Aspect 61)
A system according to any of the above or below aspects or a combination thereof, wherein the computer device determines a weather forecast associated with the site, and wherein the weather forecast includes a weather event that contraindicates the delivery of the pest treatment agent. is configured to instruct a pesticide supply unit not to dispense pest treatment at said site.

(Aspect 62)
A system according to any of the aspects or combinations thereof described above or below, including a geospatial location module associated with each of the one or more pesticide supply units, wherein the computer device determines the location of the site from each of the one or more pesticide supply units. the pest control technician associated with the pesticide supply unit closest to the site location for supplying the pest treatment agent. A system configured to be dispatched to the scene.

(Aspect 63)
A system according to any of the aspects or combinations thereof described above or below, including a geospatial location module associated with each of the one or more pesticide supply units, wherein the computing device determines the location of the pesticide supply unit. determining from said respective geospatial location module and comparing said location of any of said pesticide supply unit to a pest treatment agent limit for said location; A system configured to specify an alternative pest treatment agent if a pest treatment agent limit is violated.

(Aspect 64)
A system according to any of the above or below aspects or a combination thereof, wherein the pesticide module monitors consumption of the pesticide substance contained within the pesticide module and transmits related consumption data to the transmitting module. to the computer device via the computer device, the computer device is configured to analyze the consumption data and determine the usage rate of the pesticide material in the pesticide module, the pesticide substance contained in the pesticide module, an order interval for a replacement pesticide module to replace the pesticide module when the substance is depleted; a collection interval for collecting the pesticide module when the pesticide substance stored in the pesticide module is exhausted; or a system configured to determine an inventory level of the pesticide module necessary to timely replace the pesticide module upon depletion of pesticide material contained within the pesticide module.

(Aspect 65)
A system according to any of the above or below aspects or a combination thereof, wherein the computer device stores the consumption data of a pesticide module containing the pesticide substance and a pesticide module depleted of the pesticide substance. A system configured to compare with inventory and generate audit data.

(Aspect 66)
A system according to any or a combination of the foregoing or below-described aspects, wherein the computer device determines supply chain information associated with the pesticide module containing the pesticide material, and transmits the supply chain information to the site. A system configured to monitor pesticide substance product quality or pesticide substance performance metrics in comparison to associated pest detection information.

(Aspect 67)
A computer device including a processor and a non-transitory memory storing executable instructions, a tank configured to contain a diluent, a pesticide module configured to contain a pesticide substance, and a pesticide module configured to store the data. said disinfectant by receiving pesticide substance usage data from one or more remotely located pesticide supply units each including a transmitting module for transmitting said pesticide substance usage data; and analyzing said pesticide substance usage data with said computer device. determining and monitoring the amount of pesticide material used, the pesticide material usage data comprising: comprising a supply amount or rate of said pesticidal substance delivered from said pesticide module of any said pesticide supply unit for dispensing said pest treatment agent to pests at said site; A method in which a pesticide is supplied from said pesticide supply unit to administer a treatment.

(Aspect 68)
A method according to any of the aspects described above or below, or a combination thereof, wherein the one or more pesticide supply units include a plurality of pesticide supply units, and the method comprises: A method comprising determining an amount of the pesticide material to be used based on the amount or rate of supply of the pesticide material provided.

(Aspect 69)
A method according to any of the above or below aspects or a combination thereof, comprising determining normal usage distribution statistics for a pesticide material supplied from one or more of the pesticide supply units.

(Aspect 70)
A method according to any of the above or below aspects or a combination thereof, the method comprising: comparing the determined usage of the pesticide substance from any of the pesticide supply units with the normal usage distribution statistics; , determining a pesticide supply unit that is dispensing more or less than the normal usage distribution statistic for the pesticide substance.

(Aspect 71)
A method according to any of the aspects or combinations thereof described above or below, wherein each pesticide supply unit is associated with a pest control technician, and wherein the method comprises: determining remedial pesticide application training for the pest control technician in response to the determined usage rate of a pesticide substance deviating from the normal usage distribution statistics.

(Aspect 72)
A method according to any aspect or combination thereof as described above or below, wherein each of the one or more pesticide supply units includes a timer module in communication with a transmitting module, the timer module determining a duration of a pesticide application event. The method is configured to: determine normal duration distribution statistics for a plurality of the pesticide application events.

(Aspect 73)
A method according to any aspect or combination thereof as described above or below, wherein the determined duration of the pesticide application event from any of the pesticide supply units is compared to the normal duration distribution statistic. and determining the pesticide supply units that have been used more or less than the normal duration distribution statistics for the pesticide application event.

(Aspect 74)
A method according to any of the aspects or combinations thereof described above or below, wherein each pesticide supply unit is associated with a pest control technician, and wherein the method comprises: determining and monitoring pesticide application remedial training for the pest control technician in response to the determined duration of a pesticide application event deviating from normal duration distribution statistics; Method.

(Aspect 75)
A method according to any of the above or below aspects or a combination thereof, comprising data from an environmental monitor related to the site, physical factor data related to the site, and data from a facility monitor related to the site. , correlating data related to operational factors associated with the site, or external environmental factors data related to external environmental factors affecting the site, with the determined usage amount of the pesticide substance. .

(Aspect 76)
A method according to any of the above or below aspects or a combination thereof, wherein the one or more pesticide supply units each include a receiving module configured to receive communications from the computing device, the method comprising at least , mixing the pesticide substance at a predetermined concentration in a diluent of the pest treatment agent to be supplied from the pesticide supply unit to the pesticide module of any of the pesticide supply units; the method comprising: directing the metering of the pesticide material provided from the pesticide module for the purpose of determining the pesticide material.

(Aspect 77)
A method according to any of the above or below aspects or a combination thereof, wherein a weather forecast associated with the site is determined, and the weather forecast includes a meteorological event that contraindicates the supply of the pest treatment agent. The method comprises instructing a pesticide supply unit not to dispense a pest treatment agent at the site.

(Aspect 78)
A method according to any of the above or below aspects, or a combination thereof, comprising a geospatial location module associated with each of the one or more pesticide supply units, the method comprising: a geospatial location module associated with each of the one or more pesticide supply units; and dispatching a pest control technician associated with a pesticide supply unit closest to the site location to the site to supply the pest treatment agent. including methods.

(Aspect 79)
A method according to any or a combination of the foregoing or below-described aspects, including a geospatial location module associated with each of the one or more pesticide supply units, wherein the computer device determines the location of the pesticide supply unit. determining from said respective geospatial location module and comparing said location of any of said pesticide supply unit to a pest treatment agent limit for said location; A method comprising specifying an alternative pest treatment agent if a pest treatment agent restriction is violated.

(Aspect 80)
A method according to any of the above or below aspects or a combination thereof, wherein the pesticide module monitors consumption of the pesticide substance contained within the pesticide module and transmits related consumption data to the transmitting module. the method is configured to analyze the consumption data and determine the usage rate of the pesticide material in the pesticide module, the pesticide material contained in the pesticide module, an order interval for a replacement pesticide module to be replaced with the pesticide module when the pesticide substance is depleted; a collection interval for collecting the pesticide module when the pesticide substance stored in the pesticide module is exhausted; or determining an inventory level of the pesticide module necessary to timely replace the pesticide module upon depletion of pesticide material contained within the pesticide module.

(Aspect 81)
A method according to any of the above or below aspects, or a combination thereof, wherein the consumption data is compared and audited with an inventory of pesticide modules containing the pesticide substance and pesticide modules depleted of the pesticide substance. A method including generating data.

(Aspect 82)
A method according to any or a combination of the foregoing or below-described aspects, the method comprising: determining supply chain information associated with the pesticide module containing the pesticide material; A method comprising monitoring pesticide substance product quality or pesticide substance performance metrics in comparison to detected information.

(Aspect 83)
A computer-readable storage medium for field application of a pesticide, said computer-readable storage medium being non-transitory, wherein at least a computer device having said non-transitory computer-readable storage medium associated therewith contains a diluent. from one or more remotely located pesticide supply units each including a tank configured to contain a pesticide material, a pesticide module configured to contain a pesticide material, and a transmitter module configured to transmit data; Responsive to execution by the processor of: receiving pesticide substance usage data; and determining and monitoring usage of the pesticide substance by analyzing the pesticide substance usage data with the computer device. having internally stored computer readable program code that causes the device to perform any of the pesticide substance usage data to formulate a pest treatment agent containing a concentration of the pesticide substance in the diluent; a supply amount or rate of supply of the pesticide substance supplied from the pesticide module of the pesticide supply unit, wherein the pest treatment agent is supplied with the pesticide material to treat pests at the site; A computer readable storage medium supplied from a supply unit.

(Aspect 84)
A non-transitory computer-readable storage medium according to any of the aspects described above or below, or a combination thereof, wherein the one or more pesticide supply units include a plurality of pesticide supply units, and the non-transitory computer-readable storage medium comprises: , in response to execution by the processor of determining a usage amount of the pesticide substance based on the supply amount or the supply rate of the pesticide substance supplied from the pesticide module of the pesticide supply unit. A non-transitory computer-readable storage medium comprising further computer-readable program code stored within the non-transitory computer-readable storage medium to cause the non-transitory computer-readable storage medium to perform the following steps.

(Aspect 85)
a non-transitory computer-readable storage medium according to any or a combination of the above-described or below-described aspects for determining normal usage distribution statistics for pesticide substances delivered from one or more of the pesticide supply units; a non-transitory computer-readable storage medium, the non-transitory computer-readable storage medium comprising further computer-readable program code stored within the non-transitory computer-readable storage medium that causes the apparatus, in response to execution by the processor, to cause the apparatus to:

(Aspect 86)
a non-transitory computer-readable storage medium according to any of the aspects or combinations described above or below, wherein the determined usage amount of the pesticide substance from any of the pesticide supply units is stored in the regular usage amount; causing the apparatus, in response to execution by the processor, to determine which pesticide supply units are dispensing more or less than the normal usage distribution statistics for the pesticide substance by comparing the distribution statistics; , further computer readable program code stored within the non-transitory computer readable storage medium.

(Aspect 87)
a non-transitory computer-readable storage medium according to any of the above or below-described aspects or combinations thereof, wherein each pesticide supply unit is associated with a pest control technician; a pesticide for said pest control technician in response to said determined usage of said pesticide substance from any said pesticide supply unit deviating from said normal usage distribution statistics; non-transitory computer-readable storage comprising further computer-readable program code stored within the non-transitory computer-readable storage medium that causes the apparatus, in response to execution by the processor, to determine an applied remedial training; Medium.

(Aspect 88)
a non-transitory computer-readable storage medium according to any of the aspects or combinations thereof described above or below, wherein each of the one or more pesticide supply units includes a timer module in communication with a transmitting module; The non-transitory computer readable storage medium is configured to determine a duration of an application event, and the non-transitory computer readable storage medium is configured to determine a normal duration distribution statistic for a plurality of the pesticide application events. A non-transitory computer-readable storage medium comprising further computer-readable program code stored within the non-transitory computer-readable storage medium for causing an apparatus to perform operations on the non-transitory computer-readable storage medium.

(Aspect 89)
a non-transitory computer-readable storage medium according to any or combination of the foregoing or below-described aspects, wherein the determined duration of the pesticide application event from any of the pesticide supply units is stored in the regular duration of the pesticide application event; the device in response to performing by the processor determining the pesticide supply unit being used more or less than the normal duration distribution statistics for the pesticide application event; A non-transitory computer-readable storage medium comprising further computer-readable program code stored within the non-transitory computer-readable storage medium to cause the non-transitory computer-readable storage medium to perform the following steps.

(Aspect 90)
a non-transitory computer-readable storage medium according to any of the above or below-described aspects or combinations thereof, wherein each pesticide supply unit is associated with a pest control technician; a pesticide for said pest control technician in response to said determined duration of said pesticide application event from any said pesticide supply unit deviating from normal duration distribution statistics; a non-transitory computer comprising further computer-readable program code stored within the non-transitory computer-readable storage medium that causes the apparatus, in response to execution by the processor, to determine and monitor applied remedial training; Readable storage medium.

(Aspect 91)
a non-transitory computer-readable storage medium in accordance with any of the foregoing or below-described aspects, or a combination thereof, comprising: data from an environmental monitor associated with the site; physical factor data associated with the site; correlating data from facility monitors, data related to operational factors associated with the site, or external environmental factor data related to external environmental factors affecting the site with the determined usage amount of the pesticide substance; a non-transitory computer-readable storage medium, the non-transitory computer-readable storage medium comprising further computer-readable program code stored within the non-transitory computer-readable storage medium for causing the apparatus, in response to execution by the processor, to cause the apparatus to:

(Aspect 92)
a non-transitory computer-readable storage medium according to any or combination of the foregoing or below-described aspects, wherein each of the one or more pesticide supply units includes a receiving module configured to receive communications from the computing device; , the non-transitory computer-readable storage medium is configured to store at least one of the pesticide modules of any of the pesticide supply units in a diluent of the pest treatment agent to be supplied from the pesticide supply unit. the device, in response to execution by the processor, instructing the device to meter the pesticide material supplied from the pesticide module to dispense a predetermined concentration of the pesticide material at a predetermined concentration of the pesticide material; A non-transitory computer-readable storage medium comprising further computer-readable program code stored within the temporary computer-readable storage medium.

(Aspect 93)
a non-transitory computer-readable storage medium according to any of the foregoing or below-described aspects, or a combination thereof, for determining a weather forecast associated with said site, said weather forecast contraindicating the delivery of said pest treatment agent; said non-transitory computer, in response to execution by said processor, causing said device to instruct a pesticide supply unit not to dispense pest treatment agent at said site if an event occurs; A non-transitory computer-readable storage medium comprising further computer-readable program code stored within the readable storage medium.

(Aspect 94)
a non-transitory computer-readable storage medium according to any or combination of the above-described or below-described aspects, the non-transitory computer-readable storage medium comprising a geospatial location module associated with each of the one or more pesticide supply units; a pest control technician associated with the pesticide supply unit closest to the site location for supplying the pest treatment agent in correlation with the location of the pesticide supply unit determined from the respective geospatial location module; a non-transitory computer-readable storage medium comprising further computer-readable program code stored within the non-transitory computer-readable storage medium that causes the apparatus to dispatch to the scene in response to execution by the processor; .

(Aspect 95)
a non-transitory computer-readable storage medium according to any or a combination of the above-described or below-described aspects, comprising a geospatial location module associated with each of the one or more pesticide supply units; from said respective geospatial location module, and comparing said location of any of said pesticide supply unit to a pest treatment agent limit for said location, and said specified pest treatment agent limit for said location is determined from said respective geospatial location module; stored within the non-transitory computer-readable storage medium, responsive to execution by the processor, causing the apparatus to specify an alternative pest treatment agent if the pest treatment agent restriction is violated; a non-transitory computer-readable storage medium comprising further computer-readable program code;

(Aspect 96)
a non-transitory computer-readable storage medium according to any or combination of the foregoing or below-described aspects, wherein the pesticide module monitors consumption of the pesticide substance contained within the pesticide module, consumption data is configured to transmit consumption data to the computing device associated with the non-transitory computer readable storage medium via the transmission module, the non-transitory computer readable storage medium analyzing the consumption data and transmitting the consumption data to the computer device associated with the non-transitory computer readable storage medium; the usage rate of the pesticide substance in the pesticide module; the order interval for a replacement pesticide module to replace the pesticide module upon depletion of the pesticide substance contained in the pesticide module; the disinfection; a collection interval for retrieving the pesticide module upon depletion of the pesticide material contained within the pesticide module; or a timely collection of the pesticide module upon depletion of the pesticide material contained within the pesticide module; a further computer-readable program stored within the non-transitory computer-readable storage medium that causes the apparatus, in response to execution by the processor, to determine an inventory level of the pesticide module needed for replacement; A non-transitory computer-readable storage medium containing code.

(Aspect 97)
A non-transitory computer-readable storage medium according to any of the above or below aspects or a combination thereof, wherein the consumption data is stored in a pesticide module containing the pesticide substance and a pesticide module depleted of the pesticide substance. further computer readable program code stored within the non-transitory computer readable storage medium that causes the apparatus, in response to execution by the processor, to compare an inventory of the non-transitory computer to generate audit data. computer-readable storage medium.

(Aspect 98)
a non-transitory computer-readable storage medium according to any or combination of the aspects described above or below, the storage medium comprising: determining supply chain information associated with the pesticide module containing the pesticide substance; the non-transitory computer-readable storage responsive to execution by the processor to cause the device to monitor pesticide substance product quality or pesticide substance performance metrics in comparison to pest detection information associated with the scene; A non-transitory computer-readable storage medium including further computer-readable program code stored within the medium.

These and other features, aspects, and advantages of the present disclosure will become apparent from the following detailed description when read in conjunction with the accompanying drawings, which are briefly described below. This disclosure covers any combinations of two, three, four, and more of the aspects described above, and any combinations of two, three, four, and more of the features or elements described in this disclosure. This includes any and all further combinations, whether or not such features or elements are explicitly combined in the description of a particular aspect herein. This disclosure is intended to be read in its entirety and, unless the context clearly dictates otherwise, any separable features or elements of this disclosure are intended to be read in their entirety, in any of their various aspects. , are intended to be understood as combinable. Aspects of the present disclosure have advantages that are detailed elsewhere herein.

Having generally described the present disclosure, reference is now made to the accompanying drawings. Drawings are not necessarily drawn to scale.
1 is a schematic diagram of a pest monitoring and control system according to an aspect of the present disclosure; FIG. 1 is a schematic diagram of computer equipment components of a pest monitoring and control system and/or pesticide application system in accordance with various aspects of the present disclosure; FIG. 1 is a schematic diagram of a distribution configuration of pest monitoring equipment for on-site monitoring using a pest monitoring and control system according to an aspect of the present disclosure; FIG. 1 is a schematic diagram of the distribution of pest monitoring equipment in the field using a pest monitoring and control system according to an aspect of the present disclosure; FIG. 1 is a schematic diagram of the distribution of pest monitoring equipment in the field using a pest monitoring and control system according to an aspect of the present disclosure, wherein the sources of pest infestations are determined from actual field data collected from the pest monitoring equipment; A vector representation of is obtained. 1 is a schematic diagram of an exemplary implementation of a pest monitoring and control system for optimizing the distribution of pest monitoring equipment in a field with respect to actual data collected from a field, according to an aspect of the present disclosure addressed in Example 1; be. 1 is a schematic diagram of a pesticide application system according to an aspect of the present disclosure. FIG. 1 is a schematic diagram of a pesticide supply unit for use in a pesticide application system according to an aspect of the present disclosure; FIG. 2 is a schematic diagram of an exemplary implementation of a pesticide application system for optimizing pesticide usage and handling in a field with respect to actual data collected from a field, according to an aspect of the present disclosure addressed in Example 2; FIG. be. FIG. 2 is an operational flow diagram of an on-site pest monitoring and control method according to an aspect of the present disclosure. 1 is an operational flow diagram of an on-site pesticide application method according to an aspect of the present disclosure. FIG.

The present disclosure will now be described more fully with reference to the accompanying drawings, in which some, but not all aspects of the disclosure are shown. Indeed, this disclosure may be embodied in many different forms and should not be construed as limited to the aspects set forth herein. Rather, these aspects are provided so that this disclosure will satisfy applicable legal requirements. Like reference numbers refer to like elements throughout.

FIG. 1 schematically depicts a pest monitoring and control system 100 according to one aspect of the present disclosure. System 100 includes a plurality of pest monitoring devices 200, each configured to be placed at a site 300. Each pest monitoring device 200 is further configured to generate a signal in response to detection of a pest when deployed at a site 300. The computer device 400 is located remotely from the pest monitoring device 200 and is configured to communicate with the pest monitoring device 200 to receive generated signals therefrom, such that the signals from the pest monitoring device 200 are transmitted to the actual site. data (ie, actually collected data relating to or originating from the site 300 and representing actual events or conditions at the site 300). In some aspects, computing device 400 may be located remotely from site 300 (i.e., remote/centralized monitoring and communications). In other aspects, computing device 400 may be located at site 300, remotely from pest monitoring device 200.

Pest monitoring device 200 can take many different configurations. An example of a suitable pest monitoring device 200 is described, for example, in co-pending U.S. patent application no. Co., Ltd., Assignee Bayer CropScience LP and Bayer AG, which is incorporated herein by reference in its entirety. In one aspect, each pest monitoring device 200 includes a suitable sensing mechanism for detecting pests depending on, for example, whether the pests walk, crawl, or fly. Thus, for example, the pest detection mechanisms implemented in a suitable pest monitoring device may be configured differently for flying insects and rodents or cockroaches. In other aspects, each pest monitoring device 200 includes at least a transmission module 250 associated with a pest detection mechanism, and the transmission module 250 is configured to transmit detection signals from the pest detection mechanism to the computing device 400. be done. In some aspects, the detection signal includes, for example, an identification of a pest detected by pest monitoring device 200. In other aspects, the detection signal may include only the number or amount of detection events indicated by pest monitoring device 200. Communication between transmission module 250 and computing device 400 may be direct communication between the two, or in some cases may be through a communications gateway or hub 275. In some aspects, pest monitoring device 200 also includes a receiving module (not shown) for receiving communications from computing device 400 or from other devices suitably configured to communicate therewith. include.

As shown in FIG. 2, computing device 400 includes processing circuitry 410, a processor 420, and non-transitory memory 440, which in response to execution by processor 420 allows computing device 400 to at least: Stores executable instructions that cause specific functions to be performed on the pest monitoring device 200 with which it communicates. For example, in one aspect, computer device 400 executes appropriate instructions stored therein to monitor site 300 to determine the amount of pest monitoring equipment 200 proposed for monitoring site 300. configured to analyze relevant environmental factor data and historical factor data. In some aspects, this analysis also includes the location of each pest monitoring device 200 around the site 300.

The environmental factor data relates to, for example, environmental factors at and around the site 300 that promote the growth of pest populations. Examples of environmental factors associated with site 300 include potential food sources, water sources, or other hiding places for pests. If the site 300 includes a building or facility surrounded by other land and structures, consideration of potential food sources, water sources, or other refuges will depend on the conditions inside the building or facility and the building or facility. Extending both external or ambient conditions. Non-limiting examples of relevant site conditions include food and water sources inside or outside the building, location of entry/exit doors, location of storage or inventory, location of material processing or storage, shipping/ the receiving location, the nature and/or frequency of receiving, the temperature inside and/or outside the building (i.e. heat source), the humidity inside or outside the building, the lighting, the location of trash/waste disposal, the structural integrity of the building. These include the location of cafeterias or break rooms, and/or the location of restroom facilities that are lost or damaged.

Historical factor data, for example, relates to factors indicative of past pest populations at the site. In one aspect, such historical factor data includes whether there were previous pest monitors/traps at the site, the site conditions associated with each of these pest monitors/traps, and the site conditions associated with each of these pest monitors/traps. Traps record pest abundance, frequency, type, or other history data.

The computer device 400 determines the amount of pest monitoring devices 200 proposed for monitoring the site 300 and/or the location of each pest monitoring device 200 around the site 300 based on the environmental factor data and the historical factor data. decide. In some aspects, the amount and/or location of pest monitoring devices 200 may be determined by computing device 400 depending on specific factors at site 300. For example, as shown in FIG. 3, determining the amount and/or location of pest monitoring devices 200 may include specifying them based on the perimeter of a building or facility at a site 300. (That is, the initial setting is to place pest monitoring devices 200 around the building facility with maximum spacing (i.e., the minimum number of pest monitoring devices 200 per foot of perimeter), Reduce the spacing/increase the amount of pest monitors 200 deployed (increase the minimum number of pest monitors per foot of length) based on the environmental and historical factor data that 400 considers.

Additionally, in some aspects, computing device 400 is configured to direct the deployment (amount and/or placement) of pest control monitoring devices 200 around site 300 in response to the analysis. In some particular aspects, computing device 400 determines the deployment (amount and/or placement) of pest control monitoring devices 200 around site 300 in response to the analysis and in relation to a geospatial map of site 300. configured to instruct. That is, in some aspects, the analysis results provided by the computer device 400 may include determining the specific placement, type, etc. of pest monitors/traps in relation to a field map or building floor plan, as shown in FIG. 4, for example. Illustrated or otherwise indicated.

In some aspects, computing device 400 is configured to adjust or direct adjustments to the amount of pest monitoring equipment 200 deployed around at least site 300 based on risk tolerance factors. Such risk tolerance factors include, for example, various business risk factors, frequency of audits, or history of past audit failures. In considering the risk tolerance factors, the computer device 400 at least suggests, directs, or otherwise adjusts (increases or decreases) the final number or amount of pest monitoring devices 200 to be deployed for effective monitoring of the site. You may. In some cases, consideration of risk tolerance factors may result in at least an adjustment in the number of pest monitoring devices 200 at a particular location rather than all around the site 300. In other cases, consideration of risk tolerance factors may result in at least an adjustment in the number of pest monitoring devices 200 at certain locations, but not all around the site 300. In other cases, the type or location of pest monitoring devices 200 at particular locations around site 300 may be adjusted as a result of consideration of risk tolerance factors.

In some aspects, for example, computing device 400 receives actual field data (i.e., pest detection data sent to computing device 400) in response to detection of a pest by any pest monitoring device 200. and determine the location or potential source of detected pests around the site 300. For example, as shown in FIG. 5, computing device 400 may be configured to analyze actual site data and determine a vector 150 indicating the location or potential source of detected pests at site 300. . More specifically, in such a situation, the computer device 400 grasps the mutual geospatial positional relationship of the pest monitoring devices 200 (that is, detects pests in relation to the geospatial map, site drawing, etc. of the site 300). (according to the relative placement of devices 200) and taking into account actual field data received from pest detection devices 200, correlating pest detection signals from various pest monitoring devices 200 and determining environmental factors associated with site 300. It is configured to generate a vector 150 toward a possible root cause, location, or potential source as indicated by the data. Once the source of a potential pest outbreak is known, or alternatively, there is a vector representation of the source, location, or possible root cause of the pest outbreak, it is possible to address the pest outbreak. Appropriate measures can be taken to For example, a pest control technician may be dispatched to the site 300 to implement appropriate pest control measures and/or to the site 300 to remove, alter, or You may be notified to take separate action.

Once actual site data has been collected over a period of time and the actual site data becomes historical pest detection data and/or environmental data for site 300,/risk tolerance factors may change. Accordingly, in some aspects, the computing device 400 further analyzes the actual field data periodically or on demand using environmental and historical factor data updated from previous or original analyses. be configured to be adaptable or self-learning to change the location of pest monitoring devices 200 around the site 300 and/or to change the amount of pest monitoring devices 200 deployed around the site 300. Decide whether to make a change (ie, more optimally cover the site 300 with pest monitoring equipment 200). That is, the algorithm executed by the computer device 400 can adapt to changing conditions at the site 300 as time passes, as pest activity is tracked, or as the importance of business risks changes, and the algorithm adapts to the required pest detection equipment. It is self-learning and adaptive in the sense that it suggests increasing or decreasing the number of 200 and/or changing its position.

In certain aspects, the computing device 400 determines the source of a possible pest outbreak at the site 300, or alternatively generates a vector representation indicating the source, location, or potential root cause of the pest outbreak. If it is determined that there is a pest, the pest is configured to specify a response to the detected pest or its potential source at the site 300. In some cases, computing device 400 is configured to direct one or more specific queries to remote terminal 500 in response to actual field data prior to specifying a remedy, as shown in FIG. 1 . In such aspects, remote terminal 500 is configured to receive responses to one or more specific queries entered from site 300 and direct the responses to computing device 400 . Thus, the computing device 400 responds to the response from the remote terminal 500 to identify the detected pest and thereby identify the identified (detected) pest or identified source at the scene 300. Specify specific, targeted responses to For example, remote terminal 500 may include a smartphone, tablet, laptop computer, etc. carried by a pest control technician dispatched to site 300.

A pest control engineer is dispatched from a pest control organization (PCO) 550 (see, for example, FIG. 1), and when the pest control engineer arrives at the site 300, the computer device 400 collects pest detection signals/actual site data. (which does not necessarily identify the detected pest), a pest control technician may be dispatched to the pest monitoring device 200 sending the pest detection signal. The computing device 400, through communication with the remote device 500, may, for example, prompt a pest control technician to identify the detected pest or otherwise identify one or more external characteristics of the detected pest. You may request responses from pest control technicians to these questions. Computing device 400 then determines the specific source of the infestation and/or determines a specific course of action or treatment to deal with the detected pest based on the appropriate response from the pest control technician. Specify the action. In such cases, as those skilled in the art will understand, the treatment specified when the identified pest is a cockroach is significantly different from when the identified pest is a rodent. There are different things.

In some aspects of the present disclosure, the action that computing device 400 determines to take for a detected pest is a method that computer device 400 determines to take action for a detected pest or its potential source at site 300. , by instructing a pesticide dispenser 600 (see, e.g., FIG. 1) that is configured to carry out the remedy at the scene 300, or by instructing the pesticide dispenser 600 (see, for example, FIG. 1) to implement the remedy at the scene 300, regardless of whether the pesticide dispenser 600 is used. may be carried out by instructing a pest control technician to do so. That is, the pesticide supply device 600 may be a unit installed at a fixed location at the site, or may be a portable unit carried by a pest control engineer dispatched to the site 300. In either case, pesticide dispenser 600 may be configured to communicate with computing device 400, either directly or via suitable communication equipment.

In a further aspect of the present disclosure, the computer device 400 combines actual site data with work activity data related to work activity factors at the site 300 or external environmental factor data related to external environmental factors affecting the site 300. is configured to predict future pest outbreak events at the site 300. Further, in some aspects, the computer device 400 is connected to the site 300 to identify the root cause of a pest outbreak at the site or to recommend actions to prevent future pest outbreaks. Analyze data from environmental monitors, physical factor data related to the site 300, data from facility monitors related to the site 300, or data related to work factors related to the site 300, and combine the data with actual site data. is configured to determine a correlation between

Work activity factors or work factors include, for example, what is evident from current site plans or maps (e.g., physical environment, building design), data from equipment sensors (e.g., open entrances, water leaks), and and/or may include data from operational factors (e.g., perishable material receiving, site drainage). External environmental factors may include, for example, data from environmental monitors (eg, temperature, humidity, etc.) or seasonal factors. By correlating work activity factors or external environmental factors with actual field data and/or trends evident therefrom, computing device 400 can, for example, predict future pest infestation events at field 300. In other cases, computing device 400 may expand the root cause analysis based on this correlation and make structural, operational, and air conditioning changes associated with site 300 to prevent such pest problems. Can be recommended. That is, in some aspects, computing device 400 responds to changes in work activity factors associated with work activity data, changes in environmental factors associated with environmental factor data, or anticipated future pest outbreak events. It is also configured to determine preventive factors that may be implemented for the purpose of

In some aspects, the computing device 400 is configured to provide information on a specified treatment or active ingredients of a specified treatment (i.e., an active ingredient of a pesticidal agent or substance) to prevent or delay the development of resistance by detected pests to the treatment or the active ingredients of the specified treatment. That is, the computing device 400 may be configured to monitor the use of pesticide products for the site 300, such that the pest population around the site 300 is physiologically sensitive to a particular pesticide product or its active ingredients. Or, rotation of pesticide product use can be recommended to prevent or delay the acquisition of behavioral resistance. In other cases, computing device 400 may be configured to notify site managers that pest control technicians at site 300 should not use certain pesticide products to comply with pesticide resistance management guidelines. .

In yet other aspects, the computing device 400 is configured to determine a change in pest activity in response to a specified treatment, or the effectiveness of a specified treatment in response to activity of a pest targeted for treatment. Actual field data may be configured to correlate with specified treatments for detected pests or their potential sources at the field to assess pests. That is, in some aspects, pest activity at the site 300 (such pest activity is determined, for example, by pest monitoring equipment 200 and/or manually entered data by personnel at the site 300) is determined. By correlating with pesticide product use, computing device 400 can analyze changes in pest activity at site 300 as a result of specific pesticide product use. This correlation analysis by computer device 400 allows, for example, to evaluate the performance of a particular pesticide product against a particular pest for a particular site 300 or multiple sites. During continuous analysis of actual site data, the computing device 400 can utilize self-learning capabilities, whereby the computing device 400 can determine whether or not a particular site 300 is harmful based on the most recent data for the particular site 300 or multiple sites. Can learn or adapt to suggest or recommend the use of specific pesticides that are most appropriate for organisms.

In other aspects, the computing device 400 analyzes actual field data to determine whether pest activity associated with a specified treatment (i.e., pesticide) or associated implementation (i.e., application) parameters. is configured to determine whether an increase has occurred and recommend further response actions at the scene 300. This further response action may include, for example, adjusting implementation parameters within recommended ranges, addressing field factors unrelated to said implementation parameters, and specifying the specified treatment or active ingredients of the specified treatment. or to prevent or delay detected pests from developing resistance to the treatment. That is, the computing device 400 may detect detected pests if there is an increase in pest detection incidents at the site 300 and the use of a treatment (i.e., pesticide product) is outside of normally acceptable or recommended limits. is configured to direct corrective implementation of a specified treatment (i.e., application of a pesticide product within permissible or recommended limits) to return the level of the pesticide to below an acceptable threshold. The computing device 400 may be used to notify field personnel or pest control technology when there is an increase in pest detection incidents at the field 300 and the use of a treatment (i.e., pesticide product) is within normally acceptable or recommended limits. 300 buildings/facilities at the site and look for conditions conducive to the survival/proliferation of pests. If the number of pest detection cases is increasing at the site 300 despite the appropriate use and implementation method of the specified countermeasure, the computer device 400 determines whether the designated countermeasure is appropriate or not in the vicinity of the site 300. It may be configured to provide an early warning system to alert site managers to the possibility that pest populations have acquired physiological and/or behavioral resistance. In such cases, computing device 400 may also recommend alternative treatments or site management actions to maintain effective control of pest populations around site 300.

In yet another aspect, the computer device 400 compares the specified countermeasure with the limitations on the countermeasure regarding the site 300, and if the specified countermeasure conflicts with the limitations on the countermeasure, Configured to specify alternative remedies. That is, in some cases, particular governmental authorities (federal, state, local) may prohibit the use of particular pesticide products in particular areas, including site 300. For example, a federally registered pesticide substance may not be allowed to be used in a protected area around the known habitat of an endangered species. Additionally, even if the federal government approves a particular pesticide substance, state or local governments may have adopted prohibitions that override the federal approval, at least in certain areas. In such an aspect, the computing device 400 associates and identifies the site location with the specified treatment based on available registries listing pesticide substance restrictions that apply to the site 300 location. may be configured to alert a site manager or pest control technician before a pesticide product is shipped or applied to a site to prevent legal compliance issues.

Example 1
FIG. 6 is a schematic diagram illustrating an example implementation of a pest monitoring and control system for optimizing distribution of pest monitoring equipment in the field with respect to actual data collected from the field, in accordance with an aspect of the present disclosure. be.

The account to be monitored generally includes one or more sites for which pest monitoring devices as disclosed herein need to be distributed to and around each site. First, each site to be monitored is tagged with descriptive characteristics of the facility, such as the nature of the operation, location, facility size, type of pest considered, or monitoring equipment deployed. Next, two site-specific surveys will be conducted. One study examined the abiotic factors that enable pest incidents in facilities, such as the number of open areas on the building exterior (e.g., doors, loading/unloading areas, windows) that provide entry points for pests into the facility. Evaluate. Another investigation evaluates biological factors that perpetuate pest incidents within the facility, such as unattended food or water sources.

The results of these surveys are then analyzed to determine the number and placement of pest monitors at the monitoring site. For example, depending on what the analysis suggests, one monitoring device may be placed on either side of a door that is an entry point for pests, and/or one monitoring device may be placed on either side of a door that is a point of entry for pests, and/or one monitoring device may be placed on either side of a door that is a point of entry for pests. installed within a specified range from the supply source. Based on the basic number of pest monitors around the site determined in this way, we cross-referenced the recent activity history of pests on the site with the pest monitor allocation proposed based on the initial analysis. We further recommend increasing the number of pest monitors at each location around sites with a history of pest infestation, and adjusting the allocation of pest monitors. Finally, the number of pest monitors deployed may be further modified by applying a risk index to the adjusted allocation, where the risk index is based on (1) past pest incidents as reflected in past audits or inspections; (2) may be relative to the risk tolerance of the particular type of business being conducted in the field;

The above process defines a scheme for the recommended number of pest monitors and their placement within and/or around an on-site facility to detect the presence of unwanted pests. Individual pest reports from pest monitors are accumulated as the system operates. The system "learns" from accumulated pest reports and periodically changes the number of pest monitors in response to ongoing pest activity in or around the facility or separately on-site. and/or the distribution/location of pest monitors can be optimized. Additionally or alternatively, the system may draw data from a “library” of pest monitor deployments at other facilities/sites operating similar operations or of similar facility size and location. I can do it. In this way, the number and placement of pest monitors at a monitoring site can be continually or periodically optimized (increased, reduced or repositioned) to reduce pest incidents to the permissible limits established for the facility/site. The cost of pest monitoring hardware can be minimized while keeping the cost to a minimum.

Other aspects of the present disclosure, as shown in FIG. 8, include a tank 810 configured to contain a diluent 820, a pesticide module 830 configured to contain a pesticide material 840, and a control module 830 configured to transmit data a pesticide application system 700 that includes one or more pesticide supply/application units 800 (see e.g. FIG. 7), each of which includes a transmitting module 850; and a computer device 900 located remotely from the pesticide supply/application unit 800. directed towards. Element 800 may be referred to herein as a pesticide supply unit, a pesticide application unit, and/or a pesticide supply/application unit, as appropriate or desired. In certain aspects, the computing device 900 is configured to receive pesticide substance usage data from the pesticide supply unit 800 via the transmitting module 850, where the pesticide substance usage data is, for example, a constant concentration in a diluent. The amount or rate of supply of pesticide material 840 supplied from pesticide module 830 of either pesticide supply unit 800 to formulate a pest treatment agent containing pesticide material; The treatment agent is dispensed automatically from the pesticide supply unit 800 or by a pest control technician using the pesticide supply unit 800 to treat pests at the site 300 .

In particular, computing device 900 includes processing circuitry, a processor, and stored executable instructions that, in response to execution by the processor, cause computing device 900 to determine and monitor usage of at least pesticide substance 840. (See, for example, computer device 400 shown in FIG. 2). In some aspects of the present disclosure, the one or more pesticide supply units 800 each include a receiving module 870 (see, e.g., FIG. 8) configured to receive communications from a computing device 900, and the computing device 900 At least the metering of the pesticide substance 840 to be supplied in order to mix a specific concentration of pesticide substance 840 into the pest treatment agent diluent 820 to be supplied from the pesticide supply unit 800. The pesticide module 830 of the pesticide supply unit 800 is configured to instruct the pesticide module 830 of the pesticide supply unit 800 . Pesticide supply unit 800 may have many different configurations. An example of a suitable pesticide supply unit 800 that includes a tank 810 configured to contain a diluent 820 and a pesticide module 830 configured to contain a pesticide substance 840 may be used, for example, to U.S. Patent Application No. xx/xxx,xxx, Inventors Byron Reid, Volker Gutsman, Michael Zimmerman, Chris Pienaar, and Gaelle Fages, filed April 12, 2017, Assignee Bayer CropScience e LP and Bayer AG, which is a reference is incorporated herein by reference in its entirety.

In certain aspects, pesticide application system 700 may be a "free-standing" system arranged in the manner disclosed herein. In other aspects, the pesticide application system 700 may be included in or otherwise associated with the pest monitoring and control system 100 disclosed above. More particularly, in such aspects, the computer device 400 of the pest monitoring and control system 100 is the same as, cooperates with, or otherwise associated with the computer device 900 of the pesticide application system 700. good. In such a case, actual field data may be provided by the pest monitoring device 200 of the pest monitoring and control system 100 to the computing device 900 of the pesticide application system 700. The pesticide supply unit 800 of the pesticide application system 700 also provides automatic implementation or implementation based on instructions/commands communicated to a pest control technician to deal with one or more pests detected at the site 300. or may include a specified treatment for, or at least a computer device 400 of the pest monitoring and control system 100 (or directly or as shown in FIG. 7, for example). It may be associated with a specified remedy that is dispatched to the site 300 by the computing device 900 via the PCO 550 notification. When using such a comprehensive integrated system, according to some aspects, a regional, national, or global database of pesticide applications can be allocated by job type, pest monitoring equipment 200 or other actual It can be correlated with pest detection incidents obtained from field data. This widespread application of such systems allows monitoring and analysis of the effectiveness of pest management programs implemented by various pest control organizations (PCOs) and recommends best practices for pesticide application. can be determined.

In some aspects, system 700 includes multiple pesticide supply units 800. In such a case, the computing device 900 determines the total usage amount of the pesticide substance 840 based on the supply amount or rate of supply of the pesticide substance 840 supplied from the pesticide modules 830 across the plurality of pesticide supply units 800. It is configured like this. Computing device 900 is configured to determine normal usage distribution statistics for pesticide substance 840 supplied from one or more pesticide supply units 800 based on the determined usage amount or usage rate of pesticide substance 840. be done. Once the normal usage distribution statistics are determined, the computing device 900 compares the determined usage of pesticide material 840 from any of the pesticide supply units 800 to the normal usage distribution statistics and The pesticide supply unit 800 that is supplying more or less than the normal usage distribution statistics for the pesticide substance 840 is determined.

That is, in some aspects, a pest control organization (PCO) manager may monitor the usage of a particular pesticide supply unit 800 by tracking the usage of pesticide substance 840 at the level of the individual pesticide supply unit 800. The usage of pesticide material 840 can be indexed or evaluated relative to a population or selected set of pesticide supply units 800 performing similar tasks/supplying the same pesticide material 840, which The selected set of pesticide supply units 800 may be within the same PCO, or the selected set may be spread across several different PCOs within a particular region or across a country. It is. Computing device 900 may be used, for example, to perform routine dispatch of pest control technicians for pest detection at a site 300 located in an area that has similar sites that are also being monitored/treated. ), the usage of pesticide substance 840 is configured to track/monitor usage of pesticide substance for a particular pesticide supply unit 800 to determine distribution statistics regarding “normal use” of pesticide substance 840; Individual pesticide supply units 800 and their associated pest control technicians that are isolated from the normal distribution statistics for can be automatically marked or highlighted. As a result, the PCO pest control technician's manager receives a warning/notification to take corrective action against the pest control technician to improve work efficiency or control costs. be able to. In one example, each pesticide supply unit 800 is associated with a pest control technician, and the computing device 900 determines whether the determined usage amount of pesticide substance 840 from either pesticide supply unit 800 is a regular usage amount. The system is configured to determine remedial pesticide application training for a pest control technician in response to deviations from the distribution statistics.

In other aspects of the present disclosure, the one or more pesticide supply units 800 each include a timer module 860 (see, e.g., FIG. 8) in communication with the transmitting module 850, and the timer module 860 determines the duration of the pesticide application event. The computing device 900 is configured to determine normal duration (i.e., duration of pesticide application events) distribution statistics for a plurality of pesticide application events. In some cases, the computing device 900 may determine which pesticide supply units 800 have been used more or less than the normal duration distribution statistics for multiple pesticide application events. The determined duration of the pesticide application event from either is configured to be compared to the normal duration distribution statistics. In such a case, each pesticide supply unit is associated with a pest control technician and the computing device 900 determines that the determined duration of the pesticide application event from either pesticide supply unit 800 is normal. The system is configured to determine and monitor pesticide application remedial training for pest control technicians in response to deviations from the duration distribution statistics.

That is, the computing device 900 determines distribution statistics regarding "typical application times" by tracking/monitoring the time it takes to complete a certain type of pesticide application task (i.e., treatment of the site 300). automatically marks individual pesticide supply units 800 and their associated pest control technicians that are configured to be isolated from normally distributed statistics regarding the time required to complete a pesticide application task. , or can be made to stand out. PCO managers can use this information to plan and schedule resources (pest control technicians) based on application efficiency and more accurately assign work to each pest control technician. In other cases, the computing device 900 may track the amount of time it takes to complete a certain type of pesticide application task, such as through a price estimate based on a normal time/duration distribution. It may be configured to automate pricing, and the price quote may also be used to bill the customer.

In certain aspects, the computing device 900 is configured to identify pest control technicians who complete specific types of pesticide application tasks faster or slower than the normal time/duration distribution, and pest control technicians, for example, can be directed to online video training modules that help improve consistency by utilizing established best practices in such pesticide application operations. Additionally, the computer device 900 is configured to track or monitor compliance with remedial training by these pest control technicians and to monitor the completion of this remedial training by subsequent pest control technicians regarding the duration of pesticide application operations. It may be configured to correlate with changes in work efficiency. In this way, if any improvement is seen in the work efficiency of the pest control technician, it can be praised, and if no improvement is seen in the work efficiency of the pest control technician, additional training can be recommended. Additionally, the computer device 900 is configured to identify pest control technicians whose application (overall usage or application rate) of pesticide products is under or over relative to each normal usage distribution statistic. Often, these non-standard pest control technicians can be directed to online video training modules that help improve consistency, for example by utilizing established best practices in the application of such pesticide products. I can do it. Additionally, the computer device 900 may be configured to track or monitor compliance with remedial training by these pest control technicians and to correlate completion of this remedial training with pesticide product usage or application rates. good. In this way, if any improvement is seen in the work efficiency of the pest control technician, it can be praised, and if no improvement is seen in the work efficiency of the pest control technician, additional training can be recommended.

In other aspects, the computer device 900 may include data from environmental monitors associated with the site 300, physical factor data associated with the site 300, data from facility monitors associated with the site 300, and operations associated with the site 300. Data related to factors or external environmental factors data related to external environmental factors affecting the scene 300 are configured to be correlated with the determined usage amount of pesticide substance. That is, computing device 900 may be configured to track or monitor many different types of on-site detected pest activity. This detected pest activity can then be correlated with the work cycle (i.e., factors within the site operation) and/or the seasonal/weather patterns affecting the site 300 (i.e., factors external to the site) to identify various pests. Predictive analysis may also be performed. The computing device 900 determines that if a particular type of site is exhibiting a trend towards increased pest activity levels or an outbreak/event that will lead to an increase in pest activity levels is likely to occur, appropriate measures can be taken to prevent the pest infestation of concern. It may be configured to issue an alert to the site manager or PCO manager so that action can be taken. Further, the computing device 900 may be configured to recommend field/PCO management best practices that can be implemented to prevent and/or resolve predicted pest outbreaks. In addition, compliance records can be easily generated for a site by automatically correlating site location and weather information around the site with pesticide product usage history, eliminating warehousing and paper documentation. Regulatory investigations and/or routine inquiries regarding site safety and/or site environmental issues can be efficiently responded to without the need for investigation.

In still other cases, the computer device 900 determines a weather forecast associated with the site 300 or its location, and if the weather forecast includes a weather event that contraindicates the delivery of a pest control agent, the computer device 900 determines a weather forecast associated with the site 300 or its location, and if the weather forecast includes a weather event that contraindicates the delivery of a pesticide, the computer device 900 is configured to The unit 800 is configured to instruct the associated pest control technician or site manager not to dispense pest treatment agents at the site 300. That is, certain pesticides, such as pyrethroid pesticides, include usage instructions that indicate not to apply if rain is expected within 24 hours of application. In such a case, the computer device 900 may query a weather forecasting service to obtain a suitable forecast for the location of the scene and provide the appropriate weather forecast to the pest control technician/pesticide supply dispatched to the scene. It may be configured to correlate with real-time information about unit 800. Thus, computing device 900 may be used to inform site managers, pest control technicians, or pesticide supply unit 800 itself that the use or application of a particular pesticide product is currently contraindicated according to the recommended usage instructions. It can give you a warning about something.

More broadly, the computer device 900 may determine, for example, if the application of a pesticide substance is contraindicated according to pesticide application guidelines, if the application of a pesticide substance conflicts with applicable local regulations or applicable law, and/or or the site manager and/or PCO manager may prevent the use or application of certain pesticide products by pest control technicians to facilitate compliance with applicable environmental management guidelines in connection with the site. It may be configured as follows. That is, even though there is federal approval for a particular pesticide product, often private companies/sites develop approved product lists to regulate the pesticide products that can be used with respect to a particular site. The computer device 900 correlates the location information of the pesticide supply unit 800 and the pesticide material it supplies with the registry of approved pesticide products for that site/location, thereby detecting non-approved products before they are used. The system is configured to automatically alert/notify pest control technicians or their on-site management personnel to ensure compliance with specific site policies, laws or regulations affecting the site.

In various aspects of the present disclosure, a geospatial location module 880 (ie, a GPS-enabled device as shown in FIG. 8, for example) is associated with one or more pesticide supply units 800. In such a case, the computing device 900 determines the location of the site 300 by determining the location of the pesticide supply unit 800 (and associated Pest control technician position). The computing device 900 may be further configured to dispatch a pest control technician associated with the pesticide supply unit 800 closest to the site 300 to the site 300 to supply the pest treatment. That is, by utilizing location data of pesticide supply units 800/pest control technicians via respective geospatial location modules 880, computing device 900 can, for example, minimize response times and optimize labor utilization. In order to do so, alerts/notifications of detected pest activity received from the site can be automatically sent to the pesticide supply unit 800/pest control technician closest to the site 300. Additionally, when sufficient data has been collected, the computing device 900 may categorize alerts/notifications by the severity or importance of pest activity detected at various sites, and may be used to classify alerts/notifications by the severity or importance of pest activity detected at various sites and to assign certain resources (i.e., site operations) personnel or resources) to respond to less severe detected pest problems, while the PCO dispatches specific pest control technicians to respond to more severe detected pest problems. It may be configured to enhance.

Furthermore, by utilizing the location data of the pesticide supply unit 800/pest control technician via each geospatial location module 880, the computing device 900 can determine the location of the pesticide supply unit 800 in the respective geospatial location module. 880 and compares any location of the pesticide supply unit 800 to the pest treatment agent limit for that location, and if the specified pest treatment violates the pest treatment agent limit for that location. may be configured to specify alternative pest treatment agents.

In certain aspects, the pesticide module 880 of each pesticide supply unit 800 monitors the consumption of the pesticide substance 840 contained therein and transmits related consumption data to the computing device 900 via the transmission module 850. configured to do so. In such a case, the computing device 900 analyzes the consumption data, determines the usage rate of the pesticide substance 840 in the pesticide module 830, and replaces the pesticide substance 840 with the pesticide module 830 upon depletion of the pesticide substance 840 contained therein. the order interval for replacement pesticide modules, the collection interval for collecting the pesticide module 830 when the pesticide substance 840 stored therein is depleted, or the collection interval for collecting the pesticide module 830 when the pesticide substance 840 stored therein is depleted. The system is configured to determine inventory levels of pesticide modules 830 necessary to replace modules 830 in a timely manner. That is, the computer device 900 can monitor the individual pest control technician/pesticide supply, for example, to provide an accurate record of the pesticide product being applied, its amount or application rate, site location, and date of application. It may be configured to generate verifiable records for each unit 800. In this way, computing device 900 can monitor and report exposure to particular pesticide products (ie, environmental exposure) for compliance with occupational safety and health regulations. In this regard, it may be an advantage or advantage of aspects of the pesticide supply unit 800 disclosed herein that, for example, the pesticide material 840 from the pesticide module 830 is combined with the diluent from the tank 810. 820, pest control technicians and/or members of the public in the vicinity automatically and in a confined/contained formulation of the pest control agent to the pesticide substance 840, which may be in a concentrated state. Exposure can be reduced.

In certain aspects, the computing device 900 is configured to provide consumption data, e.g., consumption data relating to the amount or usage rate of the pesticide material 840 in the various pesticide modules 830, to the pesticide material containing the pesticide material 840. The module 830 and the pesticide material are configured to be compared to an inventory of depleted pesticide modules to generate audit data (i.e., audit data for tracking total consumption of pesticide modules 830 and pesticide products). The computer device 900 generates real-time data on the consumption of pesticide products, thereby distributing the pesticide product purchase data to different levels, i.e., within the company (i.e., PCO), at individual branches, or at each branch office. The work vehicle may be configured to monitor available inventory. This allows for optimized supply chain logistics and automatic inventory replenishment that delivers the right pesticide product to the right pest control technician in the right amount in just-in-time. Additionally, the computing device 900 may track/monitor the amount and/or usage rate (i.e., depletion) of the pesticide product to schedule collections for reuse or replacement of empty/depleted pesticide modules 830. can be created automatically. Additionally, the computer device 90 monitors for pesticide product discrepancies by correlating pesticide product supply (inventory) with pesticide product depletion and, if a discrepancy is discovered, It may be configured to generate administrator alerts about potential misappropriation/theft/loss. In other cases, such discrepancies may indicate a need for calibration of the various pesticide supply units 800, for example.

In yet other aspects, computing device 900 determines supply chain information associated with pesticide module 830 containing pesticide material 840 and compares the supply chain information with pest detection information associated with site 300 to eliminate pests. configured to monitor pesticide substance product quality or pesticide substance performance metrics. That is, the computer device 900 analyzes pest detection cases at the site 300 by utilizing a product supply database that identifies batches, analyzes, suppliers, etc., and information related to various pesticide products, and Configured to determine quality issues or performance/effectiveness issues. As a result, if a product recall is necessary, a warning/notification can be issued quickly to deal with the recall.

Example 2
FIG. 9 is a schematic diagram of an example implementation of a pesticide application system for optimizing pesticide usage and handling in a field with respect to actual data collected from the field, in accordance with an aspect of the present disclosure. . That is, in this example the system is deployed to optimize the application of pesticide formulations in the field for pest management, in particular the control of pest incidents in facilities, private residences, or apartment complexes. .

An account typically includes one or more sites, each site serviced by a system tagged with descriptive characteristics of the facility, such as the nature of the operation, its location, facility size, and/or types of pests encountered. provided. For each service at each site, characteristics of the pesticide application event are recorded, such as the date of application of a particular pesticide and the concentration and amount of that specific pesticide. This pesticide treatment event record is recorded in a database for analysis. Various analyzes are performed on the accumulated treatment events.

In one example, an external database is accessed to search for temperature and precipitation events at the site and this data is correlated with the frequency of treatment events to determine whether weather conditions affect the persistence/effectiveness of specific pesticides used and applied at the site. You can learn the influence of The system may be configured to reference various "libraries" that summarize public or private restrictions on when and where a particular pesticide may be used, and that unintentional violations may result in pest management companies Alerts can be sent to technicians (via connected pesticide application devices) to prevent adverse effects on compliance records.

Pest management companies may establish thresholds a priori or perform a posteriori analysis of treatment events to mark isolated treatment events that require corrective action. For example, by tracking the pesticide applications of all technicians, a pest management company can establish a threshold (ie, arithmetic mean plus or minus one standard deviation) for application volume or average service time. This allows pest management companies to identify technicians who are applying too many pesticides or who are not spending enough time properly servicing the facility/site. This insight allows pest management companies to improve their service standards or industry standard practices, for example, based on analysis of similar facility/site pesticide treatment records associated with numerous other companies that have data in their master database. Technicians can be directed to training resources to ensure compliance.

Finally, and in accordance with the interface with the optimized pest monitoring allocation configuration disclosed in connection with Example 1, user-defined pest incidents that indicate the need for pesticide treatment at the facility/site. A threshold value may be determined. If the pest detection system of Example 1 reports a pest incident above such threshold, the optimized pest management system may prompt a technician or pest management company to request additional pesticide applications at the facility/site. Alerts can be generated to notify you of the need for service.

The "service required" alert can be modified in a variety of ways. For example, a particular pesticide product may be recommended if the time since the last pesticide application service is shorter than expected (ie, less time apart than the manufacturer's recommended treatment). Based on the pest management company's records or records from a number of other similar pesticide management companies, the expected duration of pest control after pesticide treatment (i.e., the arithmetic mean plus or minus one standard deviation) ) can be set. Deviations from this threshold indicate poor technician performance, poor pesticide chemical performance, or both.

Furthermore, scheduled rotations between different pesticides may be established to prevent pest populations from acquiring physiological resistance to particular pesticides. The system then continuously tracks the continuous use of one pesticide in a facility/field and recommends the next pesticide product for use in the management scheme to prevent pesticide resistance in target pests. do. Substandard performance can also be a warning of the risk of pesticide resistance by pests or other conditions that reduce pesticide effectiveness.

In this way, the system can be used to control the frequency or quality of pesticide application events based on insights from operational performance data. The system also minimizes the costs and risks associated with pesticides, through interaction with pest alerts determined by the associated pest monitoring system, within acceptable limits set for the facility/site. Optimize on-site/on-site pest management while maintaining pest control.

Aspects of the present disclosure are generally illustrated in the operational flow diagrams of FIGS. 8 and 9 and also provide methods performed by the systems described, disclosed, and claimed throughout this specification. Aspects of the present disclosure, in addition to providing suitable systems, apparatus, and methods, each contain computer readable program code that upon execution by a processor causes the apparatus to perform at least the methods disclosed herein. and an associated non-transitory computer-readable storage medium for storing the information. That is, for example, a form of non-transitory computer-readable storage medium (i.e., a memory device) having therein stored certain computer-readable program code portions that are responsive to execution by a processor device to perform at least the steps disclosed herein. A computer program product that performs the functions/acts/steps disclosed above.

In this regard, FIGS. 8 and 9 are operational flow diagrams relating to certain methods, systems, apparatus, and computer program products in accordance with certain aspects of the present disclosure. More particularly, FIG. 10 schematically depicts a method of on-site pest monitoring and control according to an aspect of the present disclosure, which method includes the amount of pest monitoring equipment proposed for on-site monitoring as well as the amount of pest monitoring equipment proposed for on-site monitoring. To determine the location of each pest monitoring device around the site, environmental factor data related to the site and surrounding environmental factors that contribute to pest population growth, as well as historical pest populations at the site, are used. The method includes analyzing historical factor data related to the indicated factors (block 900) and deploying pest control monitoring equipment around the site in accordance with the analysis (block 920). FIG. 11 schematically depicts an operational flow diagram of a method of on-site pesticide application, the method comprising storing a diluent in a computer device including a processor and non-transitory memory storing executable instructions. The pesticide material is supplied from one or more remotely located pesticide supply units each including a tank configured to store the pesticide material, a pesticide module configured to contain the pesticide material, and a transmitting module for transmitting data. receiving usage data (block 940); and determining and monitoring pesticide substance usage by analyzing the pesticide substance usage data with a computing device (block 960); determines the feed rate or feed rate of pesticide material supplied from the pesticide module of any of said pesticide supply units in order to formulate a pest treatment agent containing a constant concentration of pesticide material in a diluent. A pest treatment agent is supplied from the pesticide supply unit to treat pests at the site.

It will be appreciated that each block or step of each operational flow diagram or combination of blocks of the operational flow diagrams can be implemented by suitable computer program instructions executed by a processor device. These computer program instructions may be loaded onto a computer device or other programmable device to perform the functions identified in the operational flow diagrams otherwise associated with the methods disclosed herein. These computer program instructions may be stored in non-transitory computer readable memory (i.e., a memory device) for access by a computer device or other programmable device in certain embodiments, and the computer program instructions may be stored in non-transitory computer readable memory (i.e., a memory device). The stored executable instructions operate a product that directs or is otherwise capable of performing the functions identified in the operational flow diagrams otherwise associated with the methods disclosed herein. Facilitate operation. Computer program instructions are loaded onto a computer device or other programmable device to cause the computer device or other programmable device to perform a series of operational steps, thereby causing the computer device or other programmable device to perform a series of operational steps on the computer device or other programmable device. Computer-executed instructions such that the instructions executed by the apparatus provide or otherwise direct appropriate steps for performing the functions/steps identified in the operational flow diagrams otherwise associated with the methods disclosed herein. You may create a process. Each step in an operational flow diagram or a combination of steps in an operational flow diagram can be implemented by a computer system based on specialized hardware or a combination of specialized hardware and computer instructions (software) to perform a particular function or step. It will also be understood that there is.

As indicated above, program code instructions may be stored in memory and executed by processing circuitry, and the processing circuitry may be programmed to operate the systems, subsystems, tools, and each of the systems, subsystems, and tools described herein. Perform the functionality of the element. Any suitable program code instructions may be loaded from a non-transitory computer-readable storage medium into a computer or other programmable device to produce a particular machine that performs the functions identified herein. It will be understood that it is good. These program code instructions may be stored on a non-transitory computer-readable storage medium that directs a computer, processing circuit, or other programmable device to function in a particular manner, thereby or a particular product is produced. The instructions stored on the non-transitory computer-readable storage medium may produce a means for performing the functions described herein. The program code instructions are read from a non-transitory computer-readable storage medium, loaded into a computer, processing circuit, or other programmable device, and are executed on the computer, processing circuit, or other programmable device. or may configure the computer, processing circuitry, or other programmable device to perform the operations performed thereby.

Retrieving, loading, and executing program code instructions may be a sequential process, retrieving, loading, and executing one instruction at a time. In some example implementations, reading, loading, and/or executing may be a parallel process that reads, loads, and executes multiple instructions simultaneously. Execution of program code instructions is such that the instructions executed by a computer, processing circuit, or other programmable device produce a computer process that provides operations that perform the functions described herein. It's okay.

Execution of instructions by processing circuitry, or storage of instructions on non-transitory computer-readable storage media, supports combinations of operations to perform particular functions. As such, the apparatus may include a processing circuit and a non-transitory computer-readable storage medium or memory coupled to the processing circuit, the processing circuit being configured to execute computer-readable program code stored in the memory. Ru. It is also to be understood that one or more functions, and combinations of functions, may be implemented by dedicated hardware computer systems and/or processing circuitry that performs the particular function, or a combination of dedicated hardware and program code instructions. Probably.

Many modifications and other embodiments of the disclosure presented herein will occur to those of ordinary skill in the art to which this disclosure pertains, having the benefit of the teachings of the foregoing description and associated drawings. Will. For example, in certain aspects, historical data from on-site treatment procedures and pest detection incidents may be used to perform analysis for various business performance metrics (e.g., account retention, satisfaction surveys); can use these insights to optimize customer satisfaction and improve business growth and profit margins. It is therefore to be understood that this disclosure is not limited to the particular embodiments disclosed, but that modifications and other embodiments are intended to be within the scope of the claims. Moreover, while the foregoing specification and related drawings depict example embodiments as certain example combinations of elements and/or features, alternative embodiments may depart from the scope of the claims. It should be understood that different combinations of elements and/or functionality may be provided without limitation. In this connection, it is also envisaged, for example, for some claims to present combinations of elements and/or functions different from those explicitly described above. Although specific terms are employed herein, they are used in a general, descriptive sense only and not for the purpose of limitation.

Claims (3)

a plurality of pest monitoring devices, each of the pest monitoring devices being located at a site and configured to generate a signal in response to detection of a pest at the site; and,
A computer device located remotely from the pest monitoring device and configured to communicate with the pest monitoring device to receive the generated signal from the pest monitoring device, the computer device comprising: The signals from include actual field data, the computing device includes a processor and a memory storing executable instructions, the instructions at least:
The pest monitoring device proposed for monitoring the site by determining a base amount and a base allocation and adjusting the base amount and the base allocation using environmental factor data and historical factor data. analyzing the environmental factor data and the historical factor data to determine an adjusted amount of and an adjusted distribution including a proposed installation location of each of the pest monitoring devices around the site; That is,
the environmental factor data relates to environmental factors at and around the site that favor an increase in pest populations;
the environmental factors associated with the site include potential food sources, water sources, or other refuges for pests;
The historical factor data relates to factors indicative of past pest populations at the site;
The historical factor data includes whether there have been previous pest monitors/traps at the site, the conditions of the site associated with each of the pest monitors/traps, and whether the pest monitors/traps have been recorded. including the amount, frequency, type, or other historical data of pests;
said analyzing;
directing the deployment of the pest monitoring device around the site by a pest control technician using a remote device in communication with the computer device in accordance with the analysis;
a computer device that causes the computer device to perform the following in response to execution by the processor;
Pest monitoring and control systems including; An on-site pest monitoring and control method, comprising:
A pest monitoring device proposed for monitoring the site by determining a base amount and a base allocation and adjusting said base amount and said base allocation using environmental factor data and historical factor data. said environmental factors data and said historical factors data by a computer device to determine an adjusted amount and an adjusted distribution including a proposed installation location of each said pest monitoring device around said site. To analyze,
the environmental factor data relates to environmental factors at and around the site that favor an increase in pest populations;
the environmental factors associated with the site include potential food sources, water sources, or other refuges for pests;
The historical factor data relates to factors indicative of past pest populations at the site;
The historical factor data includes whether there have been previous pest monitors/traps at the site, the conditions of the site associated with each of the pest monitors/traps, and whether the pest monitors/traps have been recorded. including the amount, frequency, type, or other historical data of pests;
said analyzing;
deploying the pest monitoring device around the site by a pest control technician using a remote device in communication with the computer device in accordance with the analysis;
method including. A computer-readable storage medium for an on-site pest control monitoring and control system, wherein the computer-readable storage medium is non-transitory and includes at least:
A pest monitoring device proposed for monitoring the site by determining a base amount and a base allocation and adjusting said base amount and said base allocation using environmental factor data and historical factor data. analyzing the environmental factor data and the historical factor data to determine an adjusted amount and an adjusted distribution including a proposed installation location of each of the pest monitoring devices around the site; And,
the environmental factor data relates to environmental factors at and around the site that favor an increase in pest populations;
the environmental factors associated with the site include potential food sources, water sources, or other refuges for pests;
The historical factor data relates to factors indicative of past pest populations at the site;
The historical factor data includes whether there have been previous pest monitors/traps at the site, the conditions of the site associated with each of the pest monitors/traps, and whether the pest monitors/traps have been recorded. including the amount, frequency, type, or other historical data of pests;
said analyzing;
directing the deployment of the pest monitoring device around the site by a pest control technician using a remote device in communication with a computer device having a processor in accordance with the analysis;
A computer-readable storage medium having computer-readable program code stored within the computer-readable storage medium that causes a computer device to perform, in response to execution by the processor.

Images